Solving the hardest data management problems since 2002.
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Build elastic modern in-memory data intensive applications and scale.
- Delivery high-performance at cloud scale blending advanced techniques for data replication, partitioning and distributed processing.
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Solving low latency data management problems at very high concurrency since 2002.
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Build high-speed, data-intensive applications that elastically meet performance requirements at any scale.
+ Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing.
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- Offering a database-like consistency model, reliable transaction processing and shared nothing architecture at ease.
Data can easily be partitioned (sharded) or replicated and resilience is ensured through redundant copies or disk-persistency allowing data to scale however is needed.
+Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence .
Super fast WAL persistence mechanism with shared-nothing architecture and optmized for fast parallel recovery of a cluster or single node.
+Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optmized for fast parallel recovery of nodes or entire cluster.
Predictable low-latency for transactions, reads, writes and query processing on top of index and non-indexed data.
+Linear-scaling low-latency for transactions, reads, writes and query processing of indexed or unindexed data.
Blazing fast in-memory storage optmized for larger heaps, with the option of using off-heap, compression and features such as disk-overflow, eviction and expiration.
+Blazing fast in-memory storage optmized for larger heaps, with the option of using off-heap, compression and features such as disk-overflow, eviction and expiration of data.
Distributed data-aware processing can be deployed and executed in parallel on a cluster. In the case of failures, processing can be retried on different nodes.
+Distributed location-aware user functions can be deployed and executed by same nodes storing relevant sharded data for fast parallel processing. In the case of failures, processing can be retried on replicant nodes.
ACID distributed transactions allows for efficient and safe coordinated operations on colocated data. Transactions can be suspended, initiated from a client or a server.
+ACID distributed transactions allows for efficient and safe coordinated operations on co-located data. Transactions can be initiated or suspended by either a client or a server.
Object Query Language allows distributed query execution on hot and cold data, with SQL-like capabilities, including joins.
- Multiple option of indexes can be created and consistently maintained across the cluster.
Apache Geode is a data management platform that provides real-time, consistent access to data-intensive applications throughout widely distributed cloud architectures.
-By pooling memory, CPU, network resources, and optionally local disk across multiple processes to manage application objects and behavior, it uses dynamic replication and data partitioning techniques to implement high availability, improved performance, scalability, and fault tolerance. In addition to being a distributed data container, Geode is an in-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.
-Apache Geode is an extremely mature and robust product that can trace its legacy all the way back to one of the first Object Databases for Smalltalk: GemStone. Geode (as GemFire™) was first deployed in the financial sector as the transactional, low-latency data engine used by multiple Wall Street trading platforms. Today Geode is used by over 600 enterprise customers for high-scale, 24x7 business critical applications.
+By pooling memory, CPU, network resources, and optionally local disk across multiple processes to manage application objects and behavior, it uses dynamic replication and data partitioning techniques to implement high availability, improved performance, scalability, and fault tolerance. In addition to being a distributed data container, Apache Geode is an in-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.
+Apache Geode is an extremely mature and robust product that can trace its legacy all the way back to one of the first Object Databases for Smalltalk: GemStone. Apache Geode (as GemFire™) was first deployed in the financial sector as the transactional, low-latency data engine used by multiple Wall Street trading platforms. Today Apache Geode is used by over 600 enterprise customers for high-scale, 24x7 business critical applications.
